A.I. Solutions Developer Global Supply Chain.

Jabil•Tampa, FL

About The Position

The AI and Data Solutions Developer is responsible for designing, developing, and implementing artificial intelligence, automation, and data-driven solutions that improve decision-making and operational performance across the Global Supply Chain organization. This role translates supply chain challenges into scalable technical solutions by combining AI development, data engineering, analytics, system integration, and process automation. The position partners with business leaders, product owners, data teams, IT, and external technology providers to improve supplier management, data quality, risk visibility, compliance, planning, and operational efficiency. The ideal candidate combines strong technical capabilities with an understanding of global supply chain processes and can effectively translate business requirements into secure, reliable, and user-focused solutions.

Requirements

AI and data solution development
Supply chain process understanding
Business and technical translation
Data quality and governance
Systems thinking and integration
Analytical problem-solving
Innovation and continuous improvement
Responsible AI judgment
Cross-functional collaboration
Global stakeholder communication
Agile delivery and execution
User-centered solution design

Nice To Haves

Experience within global supply chain, procurement, supplier management, manufacturing, logistics, or third-party risk management.
Knowledge of supplier onboarding, qualification, development, compliance, performance, and risk processes.
Experience with platforms such as SAP, Snowflake, Power BI, Azure, AWS, Databricks, Coupa, or comparable enterprise technologies.
Experience with generative AI, retrieval-augmented generation, vector databases, AI agents, document intelligence, or natural-language processing.
Familiarity with master-data management, supplier-data architecture, entity resolution, and unique-key mapping.
Understanding of DevOps, MLOps, CI/CD, automated testing, model monitoring, and production support.
Familiarity with responsible AI, and global regulatory requirements.
Experience working in an Agile, Scrum, product-management, or program-management environment.
Relevant certifications in AI, cloud development, data engineering, analytics, or supply chain management are beneficial.

Responsibilities

Design, develop, test, and deploy AI solutions that address global supply chain business needs.
Develop generative AI, machine-learning, natural-language-processing, and agentic automation capabilities.
Create intelligent tools for document verification, supplier data validation, company and address verification, contact verification, data classification, and exception management.
Develop AI assistants and bots that help suppliers and internal users’ complete forms, access information, resolve issues, and perform routine tasks.
Create automations to automate repetitive activities, improve overall global supply chain efficiency, and reduce manual intervention.
Monitor AI solutions for accuracy, reliability, performance, bias, and continued business value.
Support responsible AI practices, including human oversight, explainability, data privacy, security, and appropriate model governance.
Design and maintain scalable data pipelines, data models, APIs, integrations, and analytical solutions.
Integrate information from enterprise platforms, supplier systems, data warehouses, third-party risk providers, and external data sources.
Support the collection, validation, standardization, matching, and enrichment of supplier and supply chain data.
Develop solutions for unique supplier identification, duplicate detection, address validation, data mapping, and master-data quality.
Build dashboards, alerts, reporting tools, and predictive insights that support informed decision-making.
Establish monitoring processes to identify data-quality issues, integration failures, and performance concerns.
Create reusable technical components and development standards that support future growth.
Develop solutions supporting supplier onboarding, supplier qualification, supplier profiles, supplier development, risk management, compliance, sourcing, and performance management.
Enable collaboration and data sharing across Partner Portal, Supplier Profile, Supplier Development, ERP, procurement, and risk-management platforms.
Support predictive and prescriptive analytics for supplier risk, continuity, compliance, capacity, quality, and performance.
Research and develop intelligent search capabilities for company, commodity, geography, risk, and supplier-performance information.
Partner with global and regional teams to ensure solutions accommodate different processes, languages, regulatory requirements, and operating environments.
Facilitate discovery sessions to understand business challenges, user needs, data requirements, and expected outcomes.
Translate business requirements into technical specifications, solution designs, user stories, acceptance criteria, and testing plans.
Develop prototypes and proofs of concept to validate feasibility and demonstrate potential business value.
Participate throughout the product lifecycle, including planning, development, testing, deployment, documentation, training, and production support.
Apply secure development, version-control, testing, release-management, and change-management practices.
Troubleshoot production issues and perform root-cause analysis to improve solution stability.
Maintain technical documentation, data dictionaries, integration mappings, operating procedures, and solution architecture records.
Collaborate with Supply Chain, Procurement, Supplier Quality, Sustainability, Risk, Compliance, Finance, IT, Data Architecture, Cybersecurity, and Legal teams.
Explain technical concepts, AI capabilities, limitations, and risks in clear business language.
Partner with business analysts, product managers, project managers, and training teams to support adoption.
Evaluate technology providers and third-party solutions based on technical fit, security, scalability, cost, and business value.
Promote data literacy, AI awareness, and responsible adoption across the Global Supply Chain organization.